PC3: Collaborative Research: GENIUS: Green Sensor Networks for Air Quality Support

由于不同的气体污染物共同导致了美国每年约41,200人的死亡，空气质量监测成为保障民众健康和福祉的当务之急。该项目旨在通过在传感器硬件、通信协议、分析模型方面的改进来构建一个持续运行的污染监测网络，以实现传感器节点的自给自足。结合按需唤醒无线电和能量采集技术的集成传感器的设计是本研究的关键贡献，使得能够部署能量中立的传感器网络用于几乎常年的污染监测。Genius根据这一新的节点体系结构重新审视了网络协议栈。这项工作正在探索基于能量预测、能量存储元件的选择以及找到确保给定能量可用性的最高吞吐量的路径来联合优化占空比的技术。此外，使用新的时空数据建模工具的污染地图被集成到协议设计中，以提高操作性能。中性传感器网络将影响许多不同的应用，如环境、结构和患者健康监测，这些应用部署的传感器不容易访问。该项目还涉及与印度的国际合作，让美国学生和研究人员有机会与印度同行互动，进行联合实验，并制定互惠互利的研究战略，以应对空气污染带来的全球挑战。

With different gaseous pollutants collectively responsible for an estimated 41,200 annual deaths in the U.S. air quality monitoring becomes an imperative for the health and well-being of the population. The project GENIUS (for Green sEnsor Networks for aIr qUality Support) aims at building a continuously operational pollution monitoring network through proposing advancements in sensor hardware, communication protocols, analytical models with the goal of realizing self-sustaining sensor nodes.The design of an integrated sensor combining an on-demand wake-up radio and energy harvesting technologies is a key contribution of this research, enabling the deployment of energy neutral sensor networks for pollution monitoring that are virtually perennial. GENIUS revisits the network protocol stack in light of this new node architecture. Techniques for jointly optimizing duty cycles based on energy prediction, the choice of energy storage components, as well as finding routes that ensure the highest throughput for a given energy availability are being explored in this work. Moreover, Òpollution mapsÓ using novel spatio-temporal data modeling tools are integrated with the protocol design to improve the operational performance.ÊEnergy neutral sensor networks will impact many different applications, such as environmental, structural, and patient health monitoring, where deployed sensors are not easily accessible. The project also involves international collaboration with India, giving an opportunity for U.S. students and researchers to interact with their Indian counterparts, conduct joint experiments, and develop mutually beneficial research strategies to combat the global challenges posed by air pollution.